DESCRIPTION

Job summary
Amazon Web Services is the largest consumer cloud offering in the world, powering cutting edge science, rapidly growing start-ups and industry-leading companies.
The AWS Reliability Engineering team is building systems to ensure these AWS customers can rely on the highest-availability, lowest-latency cloud platform on the planet. We work closely with the teams who own the largest AWS products, building systems to detect and mitigate operational issues before they impact customers. We are looking for a knowledgeable and experienced senior software development engineer to help us succeed in this mission.
As a Software Development Engineer at AWS Reliability, you will lead the team in the design and implementation of systems which automate fault containment, problem diagnosis, and issue resolution across multiple hugely-distributed, always-on architectures. These systems will take metric and dependency data from multiple sources and analyze them, correlating them with customer impact to determine root cause of an issue without human intervention. As the scale and complexity of AWS grows, this is the best way that we can offer our customers a stable and reliable cloud computing platform. We succeed once these systems detect, diagnose, and repair operational defects without customer impact or human intervention.
You will work with teams across AWS to drive adoption of the software that has been built by the team, and influence systems development practices for new and existing products. You will define availability goals for service teams across AWS, and strategies to make these goals attainable with minimal effort. Your goal will be to remove human-error from the day-to-day operations of the massive, always-on, distributed systems which make up AWS.
Within your first year on the AWS Reliability team, you will have met with senior technical leaders from across AWS, designed and implemented at least one new system, and you will have dived deep into the causes of at least one historic external customer impacting event, and determined how to prevent a similar event from ever happening again. As your career continues to develop, you will influence the growth and direction not only of the Reliability team, but of the AWS group as a whole.
If this sounds like the right challenge for you, then please apply today!

BASIC QUALIFICATIONS

· 3 years’ experience in a large-scale software development environment
· Proficiency in Java, C/C++/C# or another high-level programming language
· Clear communication and mentoring skills
· Understanding of distributed operational health and performance monitoring systems and their architecture
· Manage directly assigned tasks and on-call duties gracefully
· Ability to work in a diverse team environment

 

PREFERRED QUALIFICATIONS

· Experience in Systems and Network Administration, DevOps or Site Reliability Engineering
· Experience specifying, designing, and/or implementing system health, performance monitoring tools
· Experience designing and/or implementing automated software testing, deployment and performance analysis systems
· Experience conducting failure mode analysis in complex distributed systems
· Experience conducting efficiency and duplication analysis across large organizations
· Experience reviewing and refining design and architecture documents presented by partner teams for operational readiness, fault tolerance and scalability
· Experience developing or furthering existing application and system management tools and processes that reduce manual efforts and increase overall efficiency
· Ability to adapt and improve operations management systems and processes to accommodate rapid and increasing growth in systems and traffic
· Monitor the health of the fleet, automating system health, maintenance tasks, and reporting systems as needed
· Experience with very large distributed systems such as large scale distributed database systems, storage farms, and/or horizontally scaled request processing fleets
· Experience with hardware load balancer administration, network optimization, or other related and demonstrable TCP-level experience